The cornerstone of Morgan Stanley’s risk management philosophy is the execution of risk-adjusted returns through prudent risk-taking that protects Morgan Stanley’s capital base and franchise. Risk Management protects the firm from exposure to a variety risks including market, operational, credit, liquidity and model risks. Model Risk Management is responsible for the Firm’s management of risks related to the implementation and use of models, covering all aspects of the Firm’s businesses and implementing key regulatory requirements.
Watch: Career Advice Primary Responsibilities
-Lead a team of people providing independent review and validation of risk, capital and liquidity models. We will be hiring multiple candidates with specific focus on CCAR, Recovery/Resolution Planning, and Market Risk.
-Provide leadership for true model risk management including on-going monitoring of model risk relative to changing market and credit conditions. Must follow financial markets and business trends on a frequent basis.
-Lead a team in writing model risk management findings in technical documents that will be presented both internally (model developers, business unit managers) as well as regulators including FRB and OCC.
-Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management.
-Present results to regulators.
QUALIFICATIONS
Skills required (essential)
-Masters or Doctorate degree in a technical or finance-related area such as Finance, Financial Engineering, Computational Finance, Mathematical Finance, Math/Statistics, Computer Science, Physics or related fields.
-Exposure to and experience in financial markets, products and businesses.
-7+ years of work experience in a bank or buy-side institution.
-Familiarity with essential quantitative techniques used in financial and econometric models.
-Strong written and verbal communication skills. Must be comfortable leading meetings and making formal presentations.
-Desire to work in a dynamic, team-oriented environment focusing on challenging tasks mixing fundamental, quantitative and market-oriented knowledge and skills.
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